StackOverflow2013

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18475594
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2013-08-27T21:13:48.377
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2013-08-27T21:22:58.353
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text
Body
<p><code>Map</code> can be used to solve that problem: </p> <pre><code>mydata<-mtcars dep<-as.list(rep("mpg~",(dim(mydata)[2]-1))) # ldependent variables with ~ indep1<- as.list( names(mydata)[-1]) indeno<-as.list(1:(dim(mydata)[2]-1)) myreg<-Map(function(x,y) (lm(as.formula(paste(x,paste(unlist(indep[1:y]),collapse="+"))),data=mtcars))$coefficient,dep,indeno) > myreg [[1]] (Intercept) cyl 37.88458 -2.87579 [[2]] (Intercept) cyl disp 34.66099474 -1.58727681 -0.02058363 [[3]] (Intercept) cyl disp hp 34.18491917 -1.22741994 -0.01883809 -0.01467933 [[4]] (Intercept) cyl disp hp drat 23.98524441 -0.81402201 -0.01389625 -0.02317068 2.15404553 [[5]] (Intercept) cyl disp hp drat wt 36.00835689 -1.10748650 0.01235733 -0.02401743 0.95220742 -3.67328708 [[6]] (Intercept) cyl disp hp drat wt qsec 26.30735899 -0.81856023 0.01320490 -0.01792993 1.32040573 -4.19083238 0.40146117 [[7]] (Intercept) cyl disp hp drat wt qsec vs 25.88354175 -0.85665309 0.01314097 -0.01733070 1.31265550 -4.22434351 0.44873351 -0.27816899 [[8]] (Intercept) cyl disp hp drat wt qsec vs am 15.57313068 -0.27859352 0.01471012 -0.02144242 0.81505862 -3.94373934 0.80975689 0.36835866 2.79374984 [[9]] (Intercept) cyl disp hp drat wt qsec vs am 12.83083549 -0.16881263 0.01623358 -0.02424055 0.70590083 -4.03214213 0.86828517 0.36470431 2.55092849 gear 0.50293618 [[10]] (Intercept) cyl disp hp drat wt qsec vs am 12.30337416 -0.11144048 0.01333524 -0.02148212 0.78711097 -3.71530393 0.82104075 0.31776281 2.52022689 gear carb 0.65541302 -0.19941925 </code></pre>
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1. POAutomated formula construction
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